Critical patient grading early activity guidance system based on bedside ultrasonic gastric emptying threshold judgment

Abstract

The objective of the invention is to provide a critically ill patient grading early activity guidance system based on bedside ultrasound gastric emptying threshold determination, comprising: a gastric emptying monitoring module for acquiring key indexes of gastric emptying through bedside ultrasound; the threshold value judging module is used for judging the gastric emptying state of the patient through a set threshold value algorithm and automatically calculating the proper activity level of the patient; the activity grading module is used for dynamically selecting the most suitable activity level according to the gastric emptying state and the disease severity score (S) of the patient in combination with a specific activity grading rule; the dynamic adjustment module is used for acquiring gastric emptying data of the patient in real time and automatically adjusting the activity level according to activity feedback; the decision support module is used for generating scientific and accurate decision prompts according to the data monitored in real time; and in combination with illness state scores, gastric emptying data and activity feedback, accurate personalized intervention can be realized, and a more scientific and flexible early activity management scheme is provided for critical patients.

Description

Technical Field

[0001] This invention belongs to the field of gastric emptying, and specifically relates to an early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination. Background Technology

[0002] With the continuous development of medical technology, early mobilization of critically ill patients has gradually become an important measure to improve patient recovery and reduce complications. Early mobilization can significantly improve respiratory function, circulatory system stability, and muscle strength in critically ill patients, shorten hospital stays, and reduce complications caused by prolonged bed rest, such as deep vein thrombosis and pneumonia. However, despite the significant clinical benefits of early mobilization, how to rationally arrange the intensity of activity based on multiple dimensions such as gastrointestinal function and overall condition while ensuring patient safety remains a major challenge in clinical treatment.

[0003] In current clinical practice, the arrangement of early mobilization typically relies on the experience of healthcare professionals or is based on some general standardized treatment protocols. However, critically ill patients vary greatly in the severity of their condition, gastric emptying status, and physical condition, and existing mobilization management methods cannot be precisely adjusted to address the individual differences of different patients. Therefore, traditional methods may result in mobilization intensity that is too high or too low, thereby affecting rehabilitation outcomes and even causing other complications.

[0004] Traditionally, gastric emptying assessment is usually performed through simple clinical observation, medical history taking, or experience-based judgment. Although there is a strong correlation between delayed gastric emptying and activity intensity, the specific status of gastric emptying is not quantitatively assessed in real time. In many cases, gastric emptying assessment relies on the patient's subjective complaints or indirect indicators, such as abdominal distension and nausea. These symptoms often do not reflect the patient's gastric emptying function in real time and are easily affected by individual patient differences.

[0005] Current methods for assessing gastric emptying primarily rely on traditional imaging examinations (such as gastric emptying tests). These methods are typically time-consuming and invasive, making them unsuitable for frequent use in critically ill patients. Furthermore, while ultrasound technology offers a simpler, non-invasive assessment of gastric emptying, most existing bedside ultrasound devices only provide a single, static assessment, lacking real-time, dynamic monitoring capabilities. Therefore, it is impossible to track gastric emptying status in real time while the patient is active, thus affecting the accuracy of interventions.

[0006] Most existing activity intervention programs lack dynamic adjustment mechanisms. When a patient's gastric emptying status changes, traditional treatment programs cannot adjust the intensity of activity in real time to adapt to the patient's real-time physiological changes. This "static" intervention method may lead to patients engaging in overly strenuous activities when gastric emptying is poor, or being restricted to low-intensity activities even when gastric emptying is good, thus failing to maximize their rehabilitation effects.

[0007] To address the shortcomings of existing technologies, this invention proposes a graded early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination. This system allows for real-time, dynamic monitoring of the patient's gastric emptying status and adjustments to the mobilization plan based on this data. This technology not only avoids the empirical judgment errors inherent in traditional methods but also ensures that the patient's activity intensity consistently matches their gastric emptying status, preventing excessive or insufficient intervention. Furthermore, by combining disease severity scores, gastric emptying data, and mobilization feedback, this system enables precise, personalized intervention, providing critically ill patients with a more scientific and flexible early mobilization management plan. Summary of the Invention

[0008] The purpose of this invention is to provide a system for guiding early mobilization of critically ill patients based on bedside ultrasound gastric emptying threshold determination, comprising:

[0009] The gastric emptying monitoring module is used to monitor the patient's gastric emptying status in real time via bedside ultrasound and obtain key indicators of gastric emptying, including residual gastric fluid volume (R) and gastric emptying half-life (T1 / 2).

[0010] The threshold determination module is used to determine the patient's gastric emptying status based on the patient's gastric emptying index (R, T1 / 2) and disease severity score (S) through a set threshold algorithm, and automatically calculate the appropriate activity level.

[0011] The activity grading module is used to classify the patient's early activity into multiple levels based on the patient's gastric emptying status and disease severity score (S), combined with specific activity grading rules. These levels include Level I passive movement, Level II assisted activity, and Level III active activity, and the most appropriate activity level is dynamically selected.

[0012] The dynamic adjustment module is used to acquire the patient's gastric emptying data in real time and automatically adjust the activity level based on activity feedback. It also optimizes the activity intensity in real time during the activity to ensure that the activity is always kept within the patient's safe range.

[0013] The decision support module generates scientific and accurate decision prompts based on real-time monitoring data, helping medical staff to adjust activity plans in a timely manner to ensure that patients receive appropriate activity guidance while their stomachs are empty and to improve rehabilitation outcomes.

[0014] Furthermore, the threshold determination module automatically determines the activity level based on the patient's gastric emptying data and condition score using the following gastric emptying threshold algorithm:

[0015] A = f(R, T) 1 / 2 Where A is the activity level and R is the remaining gastric fluid volume, A = f(R, T) 1 / 2 S) represents the gastric emptying half-life, and S represents the patient's disease severity score; among them,

[0016] Residual gastric fluid volume (R) is a key indicator reflecting gastric emptying capacity. If the residual gastric fluid volume is high, it means that gastric emptying function is limited and the patient needs to engage in low-intensity activities. For example, if the residual gastric fluid volume exceeds a certain value (e.g., >100mL), the system will automatically determine that the patient is in a state of poor gastric emptying and the activity level should be limited to low intensity.

[0017] The gastric emptying half-life (T1 / 2) can also help determine the intensity of activity. A longer gastric emptying half-life usually means that gastric juices are emptied slowly, which may lead to problems such as bloating and indigestion. In this case, high-intensity activities should be avoided.

[0018] Severity score (S): The severity score is generally derived from clinical assessment, such as the APACHE I or SOFA score, and represents the patient's overall health status. A high severity score (e.g., score >15) usually indicates that the patient's condition is serious and the intensity of activity should be limited to avoid inducing complications. If the severity score is low (e.g., score <10), it indicates that the patient's condition is mild and may be able to engage in more strenuous activities.

[0019] Furthermore, the activity grading module includes:

[0020] Based on the patient's gastric emptying status (R, T1 / 2) and disease severity (S), the corresponding activity level is automatically selected and generated to ensure that the activity intensity matches the patient's gastric emptying status.

[0021] The determination rule is as follows:

[0022] When the remaining gastric fluid volume exceeds 100mL, the T1 / 2 exceeds 30 minutes, and the condition score is high, the system automatically selects Level I passive exercise;

[0023] If the amount of remaining gastric fluid is moderate, the T1 / 2 is slightly prolonged, and the disease score is moderate, the system selects Level II auxiliary activities;

[0024] When gastric emptying is good (low residual gastric fluid volume, short T1 / 2), and the disease score is low, the system selects level III active activity.

[0025] Furthermore, the dynamic adjustment module adjusts the patient's activity level in real time based on feedback data after each activity; when gastric emptying is delayed, the activity level is automatically reduced; when gastric emptying improves, the activity level is automatically increased, thereby avoiding adverse reactions to the patient caused by inappropriate activity intensity.

[0026] Furthermore, the decision support module automatically generates decision suggestions using the following algorithm:

[0027] P = g(R,T) 1 / 2 A)

[0028] Wherein, P is the system-generated prompt message, R is the remaining gastric fluid volume, T1 / 2 is the gastric emptying half-life, and A is the current activity level, prompting medical staff to adjust the activity plan according to real-time data to ensure the safety and effectiveness of the patient's recovery process.

[0029] Furthermore, the following steps are included:

[0030] Step 1: Monitor the gastric emptying status of critically ill patients in real time using bedside ultrasound equipment to obtain key data on gastric emptying, including the remaining gastric volume (R) and the gastric emptying half-life (T1 / 2);

[0031] Step 2: Based on the patient's gastric emptying data (R, T1 / 2) and disease severity score (S), automatically determine the patient's gastric emptying status and calculate the appropriate activity level using a preset threshold algorithm;

[0032] Step 3: Based on the calculation results, automatically assign activity levels to the patient, including Level I passive movement, Level II assisted activity, and Level III active activity;

[0033] Step 4: During the activity, the activity level is dynamically adjusted based on the feedback information by monitoring the patient's gastric emptying data in real time, ensuring that the activity intensity is appropriate for the patient's current gastric emptying status and physical condition;

[0034] Step 5: Generate decision prompts based on real-time feedback to help medical staff adjust activity plans in a timely manner based on gastric emptying data, ensuring that patients remain within a safe range throughout the recovery process.

[0035] Furthermore, the gastric emptying threshold determination step in step 2 automatically sets a personalized gastric emptying threshold by combining the patient's gastric emptying data with the disease score, and calculates the appropriate activity level in real time.

[0036] Furthermore, the dynamic adjustment step in step 4 automatically determines and adjusts the patient's activity level based on real-time feedback of gastric emptying data. If gastric emptying data is delayed, the activity intensity is automatically reduced; if gastric emptying returns to normal, the activity intensity can be gradually increased.

[0037] Furthermore, the decision support module in step 5 automatically generates decision prompts through algorithms to help medical staff adjust the activity plan based on the latest data during the activity, ensuring that the patient's rehabilitation process is efficient and safe.

[0038] The critical patient triage and early mobilization guidance system based on bedside ultrasound gastric emptying threshold determination proposed in this invention has the following significant beneficial effects:

[0039] Personalized and precise intervention: By monitoring the patient's gastric emptying status in real time (such as the amount of remaining gastric juice and the gastric emptying half-life), this system can automatically generate personalized activity plans based on each patient's specific gastric emptying status, disease score, and other multi-dimensional information. This personalized intervention approach avoids the traditional "one-size-fits-all" activity plan, ensuring that the activity intensity of each patient is always matched with their current physiological state, thereby maximizing the safety and effectiveness of early activity.

[0040] Dynamic adjustment mechanism: Unlike traditional static treatment plans, this system can acquire gastric emptying data in real time and automatically adjust the activity level based on real-time feedback during the activity. This dynamic adjustment mechanism ensures that the patient remains within a safe activity intensity range throughout the activity, avoiding complications caused by excessive or insufficient activity intensity, and improving the scientific rigor and reliability of the treatment.

[0041] Improving rehabilitation efficiency: By precisely controlling activity intensity, the system can adjust the intervention plan in a timely manner based on the patient's gastric emptying status, changes in condition, and activity feedback. This real-time data-driven intervention not only promotes the patient's rehabilitation process but also helps patients regain independent activity as soon as possible, shortens hospital stays, and reduces complications caused by prolonged bed rest, such as deep vein thrombosis and pulmonary infections.

[0042] Reduced risk of discomfort and complications: Through systematic activity grading and real-time dynamic adjustment, this system can effectively reduce gastrointestinal discomfort and indigestion caused by excessive or insufficient activity, and avoid complications caused by delayed gastric emptying. Patients can engage in activities within a safe range that matches their gastric emptying status, thereby avoiding the potential health risks associated with overexertion or underexertion.

[0043] Intelligent Decision Support: This system automatically generates decision prompts through its decision support module, assisting medical staff in adjusting patient activity plans based on real-time data. This intelligent decision support function reduces the workload of medical staff and improves the accuracy and timeliness of medical decisions. The system can automatically generate adjustment suggestions based on the patient's gastric emptying data and activity feedback, helping medical staff quickly make the most appropriate intervention decisions, thereby optimizing treatment outcomes.

[0044] Improving patient safety: Through automated activity intervention and real-time monitoring, the system can react promptly to changes in the patient's gastric emptying status, ensuring the patient remains safe throughout the recovery process. Effective dynamic monitoring and intervention reduce the risk of human error and inappropriate intervention, providing patients with a more scientific and safer recovery environment.

[0045] In summary, this invention, by combining bedside ultrasound technology, real-time data analysis, and dynamic adjustment mechanisms, provides a safe, effective, and personalized early mobilization intervention program for critically ill patients. This significantly improves patient rehabilitation efficiency and reduces the occurrence of complications, demonstrating significant clinical application value and social benefits. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation

[0047] This invention proposes a triage and early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination. The system aims to dynamically adjust activity intensity and provide personalized intervention plans by real-time monitoring of the patient's gastric emptying status and combining this data with multi-dimensional information such as gastric emptying data, disease severity scores, and activity feedback. This intelligent system not only ensures that the activity intensity during the patient's recovery process meets gastric emptying requirements but also avoids gastrointestinal discomfort or other complications caused by inappropriate activity intensity, thereby improving rehabilitation efficiency and reducing hospital stays.

[0048] Bedside ultrasound equipment is one of the core components of this system. It uses ultrasound technology to monitor the gastric emptying status of critically ill patients in real time. Through bedside ultrasound equipment, we can acquire dynamic images of the fluid in the patient's stomach and calculate key parameters of gastric emptying, including the remaining gastric volume (R) and the gastric emptying half-life (T1 / 2). These two indicators are crucial for assessing the patient's gastric emptying function.

[0049] Bedside ultrasound equipment uses an ultrasound probe placed at a specific location on the patient's abdomen (usually below the xiphoid process or left costal margin) to acquire dynamic images of the gastric fluid by utilizing the principle of ultrasound reflection. The device generates real-time images of gastric emptying by emitting high-frequency sound waves and receiving the echo signals reflected back from the gastric fluid.

[0050] Residual gastric fluid volume (R): Ultrasound technology can accurately measure the volume of residual gastric fluid by detecting the reflected waveform of the fluid within the stomach. The system calculates the residual gastric fluid volume (R), usually expressed in milliliters (mL). A high residual gastric fluid volume indicates poor gastric emptying, in which case the patient's activity level should be reduced.

[0051] Gastric emptying half-life (T1 / 2): This parameter reflects the rate of gastric emptying, specifically the time required for half of the gastric fluid to be emptied. Using ultrasound imaging, we can accurately measure the gastric emptying process and calculate the half-life. A longer T1 / 2 indicates slow gastric emptying, which may cause problems such as bloating and nausea, thus requiring adjustments to activity levels.

[0052] To enable long-term monitoring, the bedside ultrasound device integrates a real-time data acquisition and storage module. During each monitoring session, the device not only collects preliminary data on gastric emptying but also stores all key parameters related to gastric emptying and sends the data to a central data processing module for further analysis.

[0053] Regular and on-demand scanning: Bedside ultrasound equipment can automatically start scanning according to preset monitoring intervals (e.g., every 6 or 12 hours), or it can perform on-demand scanning as needed by healthcare professionals. When patients experience symptoms such as gastrointestinal discomfort, bloating, or nausea, healthcare professionals can promptly activate the bedside ultrasound equipment to assess gastric emptying.

[0054] Data transmission and storage: The device transmits real-time data to the hospital's information system (HIS) or electronic medical record system (EMR) via a wireless transmission module. All monitoring data is stored in a central database for use by subsequent decision support modules. This feature not only ensures the real-time nature of the data but also provides a complete historical record for clinical decision-making.

[0055] Bedside ultrasound equipment, through real-time connection with the hospital's information system, allows each scan result to be displayed on the healthcare worker's terminal device within seconds. Simultaneously, the equipment features a real-time data analysis and feedback mechanism, providing timely feedback to healthcare workers based on changes in gastric emptying data. For example, if gastric emptying is delayed, the system will use data analysis to predict whether activity intensity needs adjustment.

[0056] The threshold determination module automatically calculates the appropriate activity level based on the patient's gastric emptying data and condition score. This module processes real-time data using a pre-defined algorithm to determine the patient's gastric emptying status and provides personalized intervention by dynamically adjusting activity intensity.

[0057] 2.1 Threshold Determination Algorithm

[0058] The threshold determination module sets normal and abnormal values ​​for gastric emptying based on extensive clinical data and automatically generates activity suggestions for patients in conjunction with their condition scores. The gastric emptying threshold algorithm considers the following key factors:

[0059] Residual gastric fluid volume (R): As an indicator of gastric emptying capacity, a larger residual gastric fluid volume (R) indicates slower gastric emptying, and the intensity of activity should be appropriately reduced. If R > 100 mL, the patient needs to engage in low-intensity activity.

[0060] Gastric emptying half-life (T1 / 2): A longer gastric emptying half-life (e.g., T1 / 2 > 30 minutes) usually indicates slower gastric emptying, and patients should avoid high-intensity activities in this case. The system will automatically adjust the activity level based on T1 / 2.

[0061] Severity score (S): Severity scores (such as APACHE II, SOFA score) are used to assess a patient's overall health status. If the severity score is high (e.g., S>15), the system will select low-intensity activities even if gastric emptying is good; if the severity score is low, higher-intensity activities can be selected.

[0062] Based on the above threshold determination algorithm, the system automatically calculates the appropriate activity level. This process determines the appropriate level according to the following rules:

[0063] Level I passive movement: When the patient's remaining gastric fluid volume (R) exceeds 100 mL, T1 / 2 exceeds 30 minutes, and the condition score is high, the system will automatically select Level I passive movement, and the patient can only perform passive joint movements.

[0064] Level II assisted activity: When gastric emptying is adequate (R between 50 mL and 100 mL, T1 / 2 between 30 and 45 minutes) and the patient's condition score is moderate, the system will select Level II assisted activity, allowing the patient to perform low-intensity assisted activities, such as walking with a walker.

[0065] Level III Active Activity: When gastric emptying is normal (R<50mL, T1 / 2<30 minutes) and the disease score is low, the system selects Level III Active Activity, allowing the patient to perform more active movements, such as walking independently.

[0066] The threshold determination module can dynamically adjust the activity intensity based on real-time changes in the patient's gastric emptying status. The system can quickly identify and react to changes in the patient's gastric emptying status, such as when gastric emptying returns to normal, the system can increase the activity intensity from level I to level II or III, and vice versa.

[0067] The activity grading module automatically allocates activity intensity based on the patient's gastric emptying status and disease severity, and creates personalized activity plans for the patient.

[0068] The activity grading module ensures that the activity intensity matches the patient's physiological condition and disease severity based on the following rules:

[0069] Level I passive exercise: Suitable for patients with poor gastric emptying and more severe conditions. The system will recommend passive exercise or simple postural adjustments.

[0070] Level II assisted activities: Suitable for patients with moderate gastric emptying and moderate disease scores, the system allows bedside or assisted walking activities.

[0071] Level III Active Activity: Suitable for patients with good gastric emptying and milder conditions. The system recommends that patients engage in more active exercise, such as walking or stretching.

[0072] The activity grading module monitors changes in gastric emptying in real time via a data connection with bedside ultrasound equipment and automatically adjusts the activity level accordingly. For example, if gastric emptying is delayed, the system will automatically reduce the activity intensity; if gastric emptying improves, the activity level will be appropriately increased.

[0073] The dynamic adjustment module is used to automatically adjust the patient's activity level based on activity feedback, ensuring that the activity is always kept within the patient's safe range.

[0074] After each patient activity, the system re-monitors gastric emptying data and automatically adjusts the activity intensity based on the feedback. This mechanism ensures that the patient's activity level matches their gastric emptying status. For example, in cases of delayed gastric emptying, the system uses an automated feedback mechanism to reduce the activity intensity to a safe level, preventing discomfort caused by excessive activity.

[0075] As the patient's gastric emptying improves, the system automatically increases the activity level. This real-time feedback and adjustment ensures that the patient receives the most appropriate activity level throughout the recovery process.

[0076] The decision support module automatically generates decision prompts to help medical staff adjust activity plans in a timely manner based on real-time data, ensuring the safety and effectiveness of patients' recovery process.

[0077] This module uses algorithms to analyze patients' gastric emptying data, condition scores, and activity feedback in real time, automatically generating decision-making suggestions. For example:

[0078] If the patient has delayed gastric emptying and excessive activity, the system will prompt "reduce activity intensity to Level I";

[0079] If the patient's gastric emptying is normal and their condition is good, the system may prompt "Increase activity intensity to Level III".

[0080] Through the decision support module, medical staff can quickly obtain decision suggestions based on real-time data and adjust treatment plans accordingly to ensure that the patient's recovery process is efficient and safe.

[0081] This invention combines bedside ultrasound technology with intelligent decision-making algorithms to provide a triage and early mobilization guidance system for critically ill patients based on gastric emptying threshold determination. This system enables real-time monitoring, dynamic adjustment, and personalized intervention. While ensuring patient safety, the system optimizes activity plans, improves rehabilitation outcomes, reduces complications, and provides scientific and precise decision support for medical staff.

[0082] The circuits and controls involved in this invention are all existing technologies and will not be described in detail here.

[0083] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A system for guiding early mobilization of critically ill patients based on bedside ultrasound gastric emptying threshold determination, characterized in that, include: The gastric emptying monitoring module is used to monitor the patient's gastric emptying status in real time via bedside ultrasound and obtain key indicators of gastric emptying, including residual gastric fluid volume (R) and gastric emptying half-life (T1 / 2). The threshold determination module is used to determine the patient's gastric emptying status based on the patient's gastric emptying index (R, T1 / 2) and disease severity score (S) through a set threshold algorithm, and automatically calculate the appropriate activity level. The activity grading module is used to classify the patient's early activity into multiple levels based on the patient's gastric emptying status and disease severity score (S), combined with specific activity grading rules. These levels include Level I passive movement, Level II assisted activity, and Level III active activity, and the most appropriate activity level is dynamically selected. The dynamic adjustment module is used to acquire the patient's gastric emptying data in real time and automatically adjust the activity level based on activity feedback. It also optimizes the activity intensity in real time during the activity to ensure that the activity is always kept within the patient's safe range. The decision support module generates scientific and accurate decision prompts based on real-time monitoring data, helping medical staff to adjust activity plans in a timely manner to ensure that patients receive appropriate activity guidance while their stomachs are empty and to improve rehabilitation outcomes.

2. The early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 1, characterized in that, The threshold determination module automatically determines the activity level based on the patient's gastric emptying threshold algorithm and condition score: A = f(R, T) 1 / 2 Where A is the activity level and R is the remaining gastric fluid volume, A = f(R, T) 1 / 2 S) represents the gastric emptying half-life, and S represents the patient's disease severity score; among them, Residual gastric fluid volume (R) is a key indicator reflecting gastric emptying capacity. If the residual gastric fluid volume is high, it means that gastric emptying function is limited and the patient needs to engage in low-intensity activities. For example, if the residual gastric fluid volume exceeds a certain value (e.g., >100mL), the system will automatically determine that the patient is in a state of poor gastric emptying and the activity level should be limited to low intensity. The gastric emptying half-life (T1 / 2) can also help determine the intensity of activity. A longer gastric emptying half-life usually means that gastric juices are emptied slowly, which may lead to problems such as bloating and indigestion. In this case, high-intensity activities should be avoided. Severity score (S): The severity score is generally derived from clinical assessment, such as the APACHE II or SOFA score, and represents the patient's overall health status. A high severity score (e.g., score >15) usually indicates that the patient's condition is serious and the intensity of activity should be limited to avoid inducing complications. If the severity score is low (e.g., score <10), it indicates that the patient's condition is mild and may be able to engage in more strenuous activities.

3. The early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 2, characterized in that, The activity grading module includes: Based on the patient's gastric emptying status (R, T1 / 2) and disease severity (S), the corresponding activity level is automatically selected and generated to ensure that the activity intensity matches the patient's gastric emptying status. The determination rule is as follows: When the remaining gastric fluid volume exceeds 100mL, the T1 / 2 exceeds 30 minutes, and the condition score is high, the system automatically selects Level I passive exercise; If the amount of remaining gastric fluid is moderate, the T1 / 2 is slightly prolonged, and the disease score is moderate, the system selects Level II auxiliary activities; When gastric emptying is good (low residual gastric fluid volume, short T1 / 2), and the disease score is low, the system selects level III active activity.

4. The early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 1, characterized in that, The dynamic adjustment module adjusts the patient's activity level in real time based on feedback data after each activity; it automatically lowers the activity level when gastric emptying is delayed and automatically raises the activity level when gastric emptying improves, thereby avoiding adverse reactions to the patient caused by inappropriate activity intensity.

5. The early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 1, characterized in that, The decision support module automatically generates decision suggestions using the following algorithm: P=g(R,T 1 / 2 ,A) Wherein, P is the system-generated prompt message, R is the remaining gastric fluid volume, T1 / 2 is the gastric emptying half-life, and A is the current activity level, prompting medical staff to adjust the activity plan according to real-time data to ensure the safety and effectiveness of the patient's recovery process.

6. The method of using the early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination as described in claims 1-5, characterized in that, Includes the following steps: Step 1: Monitor the gastric emptying status of critically ill patients in real time using bedside ultrasound equipment to obtain key data on gastric emptying, including the remaining gastric volume (R) and the gastric emptying half-life (T1 / 2); Step 2: Based on the patient's gastric emptying data (R, T1 / 2) and disease severity score (S), automatically determine the patient's gastric emptying status and calculate the appropriate activity level using a preset threshold algorithm; Step 3: Based on the calculation results, automatically assign activity levels to the patient, including Level I passive movement, Level II assisted activity, and Level III active activity; Step 4: During the activity, the activity level is dynamically adjusted based on the feedback information by monitoring the patient's gastric emptying data in real time, ensuring that the activity intensity is appropriate for the patient's current gastric emptying status and physical condition; Step 5: Generate decision prompts based on real-time feedback to help medical staff adjust activity plans in a timely manner based on gastric emptying data, ensuring that patients remain within a safe range throughout the recovery process.

7. The method of using the early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 6, characterized in that, Step 2, the gastric emptying threshold determination step, automatically sets a personalized gastric emptying threshold by combining the patient's gastric emptying data with the disease score, and calculates the appropriate activity level in real time.

8. The method of using the early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 6, characterized in that, The dynamic adjustment step in step 4 automatically determines and adjusts the patient's activity level based on real-time feedback of gastric emptying data. If gastric emptying data is delayed, the activity intensity is automatically reduced; if gastric emptying returns to normal, the activity intensity can be gradually increased.

9. The method of using the early mobilization guidance system for critically ill patients based on bedside ultrasound gastric emptying threshold determination according to claim 6, characterized in that, The decision support module in step 5 automatically generates decision prompts through algorithms, helping medical staff adjust the activity plan based on the latest data during the activity, ensuring that the patient's recovery process is efficient and safe.

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